Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Leverage AI-driven search capabilities to extract precise answers and identify trends from various documents and websites. Watson Discovery utilizes advanced, industry-leading natural language processing to comprehend the distinct terminology of your sector, swiftly locating answers within your content and revealing significant business insights from documents, websites, and large datasets, thereby reducing research time by over 75%. This semantic search transcends traditional keyword-based searches; when you pose a question, Watson Discovery contextualizes the response. It efficiently scours through data in connected sources, identifies the most pertinent excerpts, and cites the original documents or web pages. This enhanced search experience, powered by natural language processing, ensures that vital information is readily accessible. Moreover, it employs machine learning techniques to categorize text, tables, and images visually, all while highlighting the most relevant outcomes for users. The result is a comprehensive tool that transforms how organizations interact with information.
Description
Achieve greater precision in results with the Inbenta Semantic Search Engine, which comprehends the intent behind customer inquiries. As the most commonly utilized self-service feature, found on 85% of websites, the capability to present the most pertinent information can significantly impact the quality of the customer experience on your site. Inbenta Search aggregates information from various customer relationship management platforms like Salesforce.com and Zendesk, as well as other specified online sources. By leveraging Inbenta's Symbolic AI and Natural Language Processing technologies, this advanced semantic search system effectively interprets user questions, swiftly provides the best answers, and helps lower your support expenses. Furthermore, adopting Inbenta's Symbolic AI technology eliminates the need for extensive data training, allowing for rapid deployment and immediate advantages from the Inbenta Search engine. This means that businesses can enhance customer satisfaction while also streamlining their operational costs efficiently.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Azure Marketplace
Yes
Genesys Cloud CX
No
IBM Data Refinery
Yes
IBM Watson
Yes
IBM Watson Studio
Yes
IBM watsonx Assistant
Yes
NTT Cloud Communications
No
NiCE Workforce Management (WFM)
No
Salesforce
No
TCS BaNCS
No
Integrations
Azure Marketplace
No
Genesys Cloud CX
Yes
IBM Data Refinery
No
IBM Watson
No
IBM Watson Studio
No
IBM watsonx Assistant
No
NTT Cloud Communications
Yes
NiCE Workforce Management (WFM)
Yes
Salesforce
Yes
TCS BaNCS
Yes
Pricing Details
$500 per month
Free Trial
Yes
Free Version
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/cloud/watson-discovery
Vendor Details
Company Name
Inbenta
Founded
2005
Country
United States
Website
www.inbenta.com/en/products/search/
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No
Enterprise Search
AI / Machine Learning
No
Faceted Search / Filtering
No
Full Text Search
No
Fuzzy Search
No
Indexing
No
Text Analytics
No
eDiscovery
No
Natural Language Processing
Co-Reference Resolution
No
In-Database Text Analytics
No
Named Entity Recognition
No
Natural Language Generation (NLG)
No
Open Source Integrations
No
Parsing
No
Part-of-Speech Tagging
No
Sentence Segmentation
No
Stemming/Lemmatization
No
Tokenization
No